See-Kiong Ng

According to our database1, See-Kiong Ng authored at least 175 papers between 1998 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
LLM-based Federated Recommendation.
CoRR, 2024

Mercury: An Efficiency Benchmark for LLM Code Synthesis.
CoRR, 2024

Topic Modeling as Multi-Objective Contrastive Optimization.
CoRR, 2024

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models.
CoRR, 2024

2023
Multimodal Deep Learning for Robust Road Attribute Detection.
ACM Trans. Spatial Algorithms Syst., December, 2023

Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation.
Trans. Recomm. Syst., December, 2023

Exploiting anonymous entity mentions for named entity linking.
Knowl. Inf. Syst., March, 2023

Constituency-Informed and Constituency-Constrained Extractive Question Answering with Heterogeneous Graph Transformer.
Trans. Large Scale Data Knowl. Centered Syst., 2023

CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System.
CoRR, 2023

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling.
CoRR, 2023

MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration.
CoRR, 2023

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents.
CoRR, 2023

From Static to Dynamic: A Continual Learning Framework for Large Language Models.
CoRR, 2023

Solving Math Word Problems with Reexamination.
CoRR, 2023

A Multi-facet Paradigm to Bridge Large Language Model and Recommendation.
CoRR, 2023

Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers.
CoRR, 2023

WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data.
CoRR, 2023

Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals.
CoRR, 2023

Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials.
CoRR, 2023

Extending JumpProcess.jl for fast point process simulation with time-varying intensities.
CoRR, 2023

Beyond Words: A Comprehensive Survey of Sentence Representations.
CoRR, 2023

Constructing and Interpreting Causal Knowledge Graphs from News.
CoRR, 2023

Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market.
CoRR, 2023

GPTScore: Evaluate as You Desire.
CoRR, 2023

EasySpider: A No-Code Visual System for Crawling the Web.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Identifying Checkworthy CURE Claims on Twitter.
Proceedings of the ACM Web Conference 2023, 2023

Economics Assistant for Robustness Checks (EconARC): Identifying Confounders from Causal Knowledge Graphs.
Proceedings of the ISWC 2023 Posters, 2023

PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2023

COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fair yet Asymptotically Equal Collaborative Learning.
Proceedings of the International Conference on Machine Learning, 2023

Training-Free Neural Active Learning with Initialization-Robustness Guarantees.
Proceedings of the International Conference on Machine Learning, 2023

Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence.
Proceedings of the IEEE International Conference on Data Mining, 2023

Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Identifying Early Maladaptive Schemas from Mental Health Question Texts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Non-Autoregressive Math Word Problem Solver with Unified Tree Structure.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Socratic Question Generation: A Novel Dataset, Models, and Evaluation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

UniCausal: Unified Benchmark and Repository for Causal Text Mining.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks.
Proceedings of the Database Systems for Advanced Applications, 2023

NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data.
Proceedings of the 10th Workshop on Argument Mining, 2023

Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Fourier Sensitivity and Regularization of Computer Vision Models.
Trans. Mach. Learn. Res., 2022

Joint Triplet Loss Learning for Next New POI Recommendation.
CoRR, 2022

UniCausal: Unified Benchmark and Model for Causal Text Mining.
CoRR, 2022

Polyglot Prompt: Multilingual Multitask PrompTraining.
CoRR, 2022

SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding.
CoRR, 2022

A Context-enriched Satellite Imagery Dataset and an Approach for Parking Lot Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Polyglot Prompt: Multilingual Multitask Prompt Training.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Syntax-Informed Question Answering with Heterogeneous Graph Transformer.
Proceedings of the Database and Expert Systems Applications, 2022

Latent Relational Point Process: Network Reconstruction from Discrete Event Data.
Proceedings of the Database and Expert Systems Applications, 2022

CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

QSTS: A Question-Sensitive Text Similarity Measure for Question Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Trusted Media Challenge Dataset and User Study.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Data Warehouse of Wi-Fi Sessions for Contact Tracing and Outbreak Investigation.
Trans. Large Scale Data Knowl. Centered Syst., 2021

NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection.
CoRR, 2021

Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG.
CoRR, 2021

Origin-Aware Next Destination Recommendation with Personalized Preference Attention.
Proceedings of the WSDM '21, 2021

On Generating Fact-Infused Question Variations.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

A Large-scale Disease Outbreak Analytics System based on Wi-Fi Session Logs.
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Special Symbol Attacks On NLP Systems.
Proceedings of the International Joint Conference on Neural Networks, 2021

Modeling Emoji Generation for Emotion Analysis of Social Media Short Texts.
Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Multimodal Fusion of Satellite Images and Crowdsourced GPS Traces for Robust Road Attribute Detection.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
An Enhanced GAN Model for Automatic Satellite-to-Map Image Conversion.
IEEE Access, 2020

A Multi-task Learning Framework for Road Attribute Updating via Joint Analysis of Map Data and GPS Traces.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Multi-scale Graph Convolutional Network for Intersection Detection from GPS Trajectories.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019

2018
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series.
CoRR, 2018

Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks.
IEEE Access, 2018

2017
Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

2016
Utilizing Temporal Information for Taxonomy Construction.
Trans. Assoc. Comput. Linguistics, 2016

Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Supporting Exploratory Hypothesis Testing and Analysis.
ACM Trans. Knowl. Discov. Data, 2015

iVizTRANS: Interactive visual learning for home and work place detection from massive public transportation data.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Using data fusion for scoring reliability of protein-protein interactions.
J. Bioinform. Comput. Biol., 2014

Taxonomy Construction Using Syntactic Contextual Evidence.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A*DAX: A Platform for Cross-Domain Data Linking, Sharing and Analytics.
Proceedings of the Database Systems for Advanced Applications, 2014

2013
Integrated Oversampling for Imbalanced Time Series Classification.
IEEE Trans. Knowl. Data Eng., 2013

Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics.
J. Bioinform. Comput. Biol., 2013

Effective Crowdsourcing for Software Feature Ideation in Online Co-Creation Forums.
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

Sustainable Pseudo-random Number Generator.
Proceedings of the Security and Privacy Protection in Information Processing Systems, 2013

2012
ARPOP: An Appetitive Reward-Based Pseudo-Outer-Product Neural Fuzzy Inference System Inspired From the Operant Conditioning of Feeding Behavior in Aplysia.
IEEE Trans. Neural Networks Learn. Syst., 2012

Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data.
J. Comput. Biol., 2012

Inferring the Regulatory Interaction Models of transcription Factors in transcriptional Regulatory Networks.
J. Bioinform. Comput. Biol., 2012

Positive-unlabeled learning for disease gene identification.
Bioinform., 2012

AssocExplorer: an association rule visualization system for exploratory data analysis.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Fuzzy associative learning of feature dependency for time series forecasting.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

PlugCloud - Scaling by Plugging a Personal Cloud Infrastructure.
Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

Ensemble Based Positive Unlabeled Learning for Time Series Classification.
Proceedings of the Database Systems for Advanced Applications, 2012

2011
Positive Unlabeled Leaning for Time Series Classification.
Proceedings of the IJCAI 2011, 2011

SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Towards exploratory hypothesis testing and analysis.
Proceedings of the 27th International Conference on Data Engineering, 2011

Evolving ensemble of fuzzy models.
Proceedings of the FUZZ-IEEE 2011, 2011

Privacy beyond Single Sensitive Attribute.
Proceedings of the Database and Expert Systems Applications, 2011

ECODE: Event-Based Community Detection from Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2011

Integrating Community Question and Answer Archives.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Integrating diverse biological and computational sources for reliable protein-protein interactions.
BMC Bioinform., 2010

SLiM on Diet: finding short linear motifs on domain interaction interfaces in Protein Data Bank.
Bioinform., 2010

An Indexing Scheme for Fast and Accurate Chemical Fingerprint Database Searching.
Proceedings of the Scientific and Statistical Database Management, 2010

Time series forecasting with appetitive reward-based pseudo-outer-product fuzzy neural network.
Proceedings of the International Joint Conference on Neural Networks, 2010

Mining mutation chains in biological sequences.
Proceedings of the 26th International Conference on Data Engineering, 2010

Negative Training Data Can be Harmful to Text Classification.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Distributional Similarity vs. PU Learning for Entity Set Expansion.
Proceedings of the ACL 2010, 2010

2009
Brief Overview of Bioinformatics Activities in Singapore.
PLoS Comput. Biol., 2009

MDPD: an integrated genetic information resource for Parkinson's disease.
Nucleic Acids Res., 2009

Privacy-preserving e-payments using one-time payment details.
Comput. Stand. Interfaces, 2009

A core-attachment based method to detect protein complexes in PPI networks.
BMC Bioinform., 2009

Positive Unlabeled Learning for Data Stream Classification.
Proceedings of the SIAM International Conference on Data Mining, 2009

MACs: Multi-Attribute Co-clusters with High Correlation Information.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Collusion-resistant anonymous data collection method.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

KCMAC-TSK: A fuzzy cerebellar model with localized TSK learning for non-linear system identification.
Proceedings of the FUZZ-IEEE 2009, 2009

A hypothalamic and piagetian fuzzy inference system: HtPFIS.
Proceedings of the FUZZ-IEEE 2009, 2009

Searching for Rising Stars in Bibliography Networks.
Proceedings of the Database Systems for Advanced Applications, 2009

Efficient and Anonymous Online Data Collection.
Proceedings of the Database Systems for Advanced Applications, 2009

An Interval type-2 Neural Fuzzy Inference System based on Piaget's action-cognitive paradigm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Pp<i>i</i>clust: Efficient Clustering of 3D protein-protein Interaction Interfaces.
J. Bioinform. Comput. Biol., 2008

Inferring Transcription Factor interactions using a novel HV-SVM classifier.
Int. J. Comput. Biol. Drug Des., 2008

TNFIS: Tree-based neural fuzzy inference system.
Proceedings of the International Joint Conference on Neural Networks, 2008

A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Enabling Privacy-Preserving e-Payment Processing.
Proceedings of the Database Systems for Advanced Applications, 2008

2007
Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers.
Proceedings of the Privacy, 2007

Learning to Identify Unexpected Instances in the Test Set.
Proceedings of the IJCAI 2007, 2007

Labeling network motifs in protein interactomes for protein function prediction.
Proceedings of the 23rd International Conference on Data Engineering, 2007

Learning to Classify Documents with Only a Small Positive Training Set.
Proceedings of the Machine Learning: ECML 2007, 2007

An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Improving domain-based protein interaction prediction using biologically-significant negative dataset.
Int. J. Data Min. Bioinform., 2006

Challenges in biological literature mining for online discovery of molecular interaction pathways.
Int. J. Comput. Appl. Technol., 2006

A correlated motif approach for finding short linear motifs from protein interaction networks.
BMC Bioinform., 2006

Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method.
BMC Bioinform., 2006

BioContrasts: extracting and exploiting protein-protein contrastive relations from biomedical literature.
Bioinform., 2006

Increasing confidence of protein interactomes using network topological metrics.
Bioinform., 2006

A Faster and More Space-Efficient Algorithm for Inferring Arc-Annotations of RNA Sequences through Alignment.
Algorithmica, 2006

Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006

NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data.
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

2005
Discovering reliable protein interactions from high-throughput experimental data using network topology.
Artif. Intell. Medicine, 2005

Smart bio-laboratories of the future.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset.
Proceedings of the Computational Science and Its Applications, 2005

Virtual Lab Dashboard: Ubiquitous Monitoring and Control in a Smart Bio-laboratory.
Proceedings of the Computational Science and Its Applications, 2005

Toward discovering disease-specific gene networks from online literature.
Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore, 2005

Reconfigurable Context-Sensitive Bio-Bridge Middleware for Smart Bio-Laboratories.
Proceedings of the 19th International Conference on Advanced Information Networking and Applications (AINA 2005), 2005

2004
InterWeaver: interaction reports for discovering potential protein interaction partners with online evidence.
Nucleic Acids Res., 2004

ADVICE: Automated Detection and Validation of Interaction by Co-Evolution.
Nucleic Acids Res., 2004

Discovering Protein-protein Interactions.
J. Bioinform. Comput. Biol., 2004

Accomplishments and Challenges in Bioinformatics.
IT Prof., 2004

Discovery of Binding Motif Pairs from Protein Complex Structural Data and Protein Interaction Sequence Data.
Proceedings of the Biocomputing 2004, 2004

Systematic Assessment of High-Throughput Experimental Data for Reliable Protein Interactions Using Network Topology.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Discovering Novel Interacting Motif Pairs from Large Protein-Protein Interaction Datasets.
Proceedings of the 4th IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2004), 2004

Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data.
Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004

2003
InterDom: a database of putative interacting protein domains for validating predicted protein interactions and complexes.
Nucleic Acids Res., 2003

Integrative Approach for Computationally Inferring Protein Domain Interactions.
Bioinform., 2003

Bioinformatics Adventures in Database Research.
Proceedings of the Database Theory, 2003

Discovery of significant rules for classifying cancer diagnosis data.
Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

From Informatics to Bioinformatics.
Proceedings of the First Asia-Pacific Bioinformatics Conference (APBC 2003), 2003

2001
Sorting Permutations by Reversals Through Branch-and-Price.
INFORMS J. Comput., 2001

2000
Fast practical solution of sorting by reversals.
Proceedings of the Eleventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2000

1998
A column-generation based branch-and-bound algorithm for sorting by reversals.
Proceedings of the Mathematical Support for Molecular Biology, 1998


  Loading...